df673cad4e
* solvers -> solver * adaptive_functions -> adaptive_function * callbacks -> callback * operators -> operator * pinns -> physics_informed_solver * layers -> block
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
from pina.solver import PINN
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from pina.trainer import Trainer
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from pina.model import FeedForward
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from pina.callback.processing_callback import PINAProgressBar
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from pina.problem.zoo import Poisson2DSquareProblem as Poisson
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# # make the problem
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# poisson_problem = Poisson()
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# boundaries = ['nil_g1', 'nil_g2', 'nil_g3', 'nil_g4']
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# n = 10
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# poisson_problem.discretise_domain(n, 'grid', locations=boundaries)
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# poisson_problem.discretise_domain(n, 'grid', locations='laplace_D')
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# model = FeedForward(len(poisson_problem.input_variables),
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# len(poisson_problem.output_variables))
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# # make the solver
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# solver = PINN(problem=poisson_problem, model=model)
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# def test_progress_bar_constructor():
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# PINAProgressBar(['mean'])
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# def test_progress_bar_routine():
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# # make the trainer
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# trainer = Trainer(solver=solver,
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# callback=[
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# PINAProgressBar(['mean', 'laplace_D'])
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# ],
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# accelerator='cpu',
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# max_epochs=5)
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# trainer.train()
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# # TODO there should be a check that the correct metrics are displayed |